class_docstr: Distance block.
class_docstr_tok: ["Distance","block","."]
docstr: Evaluate pairwise distances between two batches of feature vectors.
docstr_tok: ["Evaluate","pairwise","distances","between","two","batches","of","feature","vectors","."]
code: def pairwise_distances(self, U, V):
      """Evaluate pairwise distances between two batches of feature vectors."""
      return self._distance_block.eval(
          feed_dict={self._features_batch1: U, self._features_batch2: V}
      )
  
file_path: insightface/reconstruction/ostec/external/stylegan2/metrics/precision_recall.py
imports: import os
  import numpy
  import tensorflow
  import dnnlib
  import dnnlib.tflib
  from metrics import metric_base
  from training import misc
label_desc: Use image node_id 2 for calling the DistanceBlock obj's underlying member method code with example usage: obj.pairwise_distances(U, V) and returns: self